The classical Dempster's combination rule is the most popular rule of combinations,but it is a poor solution for the management of the evidence conflict at the normalization step.When deal with high conflict infor...The classical Dempster's combination rule is the most popular rule of combinations,but it is a poor solution for the management of the evidence conflict at the normalization step.When deal with high conflict information it can even involve counter-intuitive results.Based on evidence distance,some inherent characters of evidences are extracted,and discount method to combine conflicting evidence was proposed.The discount method can be also used to fuse image sequences to recognize targets.Examples show that the proposed method can provide reasonable results with good convergence efficiency.展开更多
In allusion to the different sample value the different influences on forecast values, this paper putsforward a kind of discount weighting grey modeling method and establishes a kind of discount coefficient grey mod...In allusion to the different sample value the different influences on forecast values, this paper putsforward a kind of discount weighting grey modeling method and establishes a kind of discount coefficient grey modelof GM (1, 1 ). It means much as respect to improve the validity and rationalics of forecast model in the course offorecast modeling.展开更多
基金National Defense Key Laboratory Foundation(No.51476040103JW13)；The National Natural Science Foundation of China(No.30400067)
文摘The classical Dempster's combination rule is the most popular rule of combinations,but it is a poor solution for the management of the evidence conflict at the normalization step.When deal with high conflict information it can even involve counter-intuitive results.Based on evidence distance,some inherent characters of evidences are extracted,and discount method to combine conflicting evidence was proposed.The discount method can be also used to fuse image sequences to recognize targets.Examples show that the proposed method can provide reasonable results with good convergence efficiency.
文摘In allusion to the different sample value the different influences on forecast values, this paper putsforward a kind of discount weighting grey modeling method and establishes a kind of discount coefficient grey modelof GM (1, 1 ). It means much as respect to improve the validity and rationalics of forecast model in the course offorecast modeling.
